H4M

H4M数据集是一个异构、多源、多模态、多视图和多分布的数据集，包含了来自中国北京的房地产交易、兴趣点、交通模式和微博趋势等数据。该数据集的独特组成使其成为研究与房地产、交通、城市移动规划、社会情感分析等相关问题的方法和途径的理想测试平台。

The H4M dataset is a heterogeneous, multi-source, multi-modal, multi-view, and multi-distribution dataset that collects data including real estate transactions, points of interest (POIs), traffic patterns, and microblogging trends from Beijing, China. Its unique composition makes it an ideal testbed for developing and validating methods and approaches for research on issues related to real estate, transportation, urban mobility planning, social sentiment analysis, and other relevant fields.

搜集汇总

背景与挑战

背景概述

H4M数据集是一个异构、多源、多模态的数据集，整合了北京房地产交易、兴趣点、交通模式和微博趋势等多领域数据。该数据集适用于城市移动规划、社会情感分析等研究，为房地产和交通相关方法提供了理想的测试平台。